| Superpixel-based difference representation learning for change detection in multispectral remote sensing images M Gong, T Zhan, P Zhang, Q Miao IEEE Transactions on Geoscience and Remote sensing 55 (5), 2658-2673, 2017 | 188 | 2017 |
| A conditional adversarial network for change detection in heterogeneous images X Niu, M Gong, T Zhan, Y Yang IEEE Geoscience and Remote Sensing Letters 16 (1), 45-49, 2018 | 154 | 2018 |
| HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images H Zheng, M Gong, T Liu, F Jiang, T Zhan, D Lu, M Zhang Pattern Recognition 129, 108717, 2022 | 69 | 2022 |
| Log-based transformation feature learning for change detection in heterogeneous images T Zhan, M Gong, X Jiang, S Li IEEE Geoscience and Remote Sensing Letters 15 (9), 1352-1356, 2018 | 69 | 2018 |
| A generative discriminatory classified network for change detection in multispectral imagery M Gong, Y Yang, T Zhan, X Niu, S Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019 | 68 | 2019 |
| A spectral and spatial attention network for change detection in hyperspectral images M Gong, F Jiang, AK Qin, T Liu, T Zhan, D Lu, H Zheng, M Zhang IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021 | 44 | 2021 |
| Unsupervised scale-driven change detection with deep spatial–spectral features for VHR images T Zhan, M Gong, X Jiang, M Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (8), 5653-5665, 2020 | 40 | 2020 |
| Iterative feature mapping network for detecting multiple changes in multi-source remote sensing images T Zhan, M Gong, J Liu, P Zhang ISPRS Journal of Photogrammetry and Remote Sensing 146, 38-51, 2018 | 39 | 2018 |
| A semisupervised GAN-based multiple change detection framework in multi-spectral images F Jiang, M Gong, T Zhan, X Fan IEEE Geoscience and Remote Sensing Letters 17 (7), 1223-1227, 2019 | 37 | 2019 |
| A coupling translation network for change detection in heterogeneous images M Gong, X Niu, T Zhan, M Zhang International journal of remote sensing 40 (9), 3647-3672, 2019 | 30 | 2019 |
| Efficient two-phase multiobjective sparse unmixing approach for hyperspectral data X Jiang, M Gong, T Zhan, K Sheng, M Xu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 15 | 2021 |
| Three-class change detection in synthetic aperture radar images based on deep belief network Q Zhao, J Ma, M Gong, H Li, T Zhan Journal of Computational and Theoretical Nanoscience 13 (6), 3757-3762, 2016 | 15 | 2016 |
| Multiobjective endmember extraction based on bilinear mixture model X Jiang, M Gong, T Zhan, M Zhang IEEE Transactions on Geoscience and Remote Sensing 58 (11), 8192-8210, 2020 | 9 | 2020 |
| Transfer learning-based bilinear convolutional networks for unsupervised change detection T Zhan, M Gong, X Jiang, W Zhao IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 7 | 2021 |
| The laser-induced damage change detection for optical elements using siamese convolutional neural networks J Kou, T Zhan, D Zhou, W Wang, Z Da, M Gong Applied Soft Computing 87, 106015, 2020 | 6 | 2020 |
| Visual attention-based siamese CNN with SoftmaxFocal loss for laser-induced damage change detection of optical elements J Kou, T Zhan, D Zhou, Y Xie, Z Da, M Gong Neurocomputing 517, 173-187, 2023 | 4 | 2023 |
| Attention-embedded triple-fusion branch CNN for hyperspectral image classification E Zhang, J Zhang, J Bai, J Bian, S Fang, T Zhan, M Feng Remote Sensing 15 (8), 2150, 2023 | 3 | 2023 |
| Geodesic simplex based multiobjective endmember extraction for nonlinear hyperspectral mixtures X Jiang, M Gong, T Zhan, H Li Information Sciences 577, 398-423, 2021 | 2 | 2021 |
| Decomposition-based multiobjective particle swarm optimization for change detection in SAR images T Zhan, Z Tang, M Gong, X Jiang, J Shi Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 2 | 2018 |
| S3Net: Superpixel-Guided Self-Supervised Learning Network for Multitemporal Image Change Detection T Zhan, M Gong, X Jiang, E Zhang IEEE Geoscience and Remote Sensing Letters, 2023 | 1 | 2023 |
Maoguo Gong （公茂果）Professor, Xidian University, Xi'an, China （西安电子科技大学 教授）Verified email at ieee.org
